Automated reporting for garages and car dealerships
Workshop utilisation, invoiced versus clocked hours, parts margin, used-car stock rotation: a garage’s numbers exist in the DMS but nobody looks at them before month-end. The agent pulls them every morning before opening.
In your day-to-day
- 01
Morning workshop brief: repair orders past their promised date, vehicles due back today, parts received overnight.
- 02
Clocked versus invoiced hours per technician, gaps flagged weekly rather than at stocktake.
- 03
Used-car stock rotation with alerts on vehicles exceeding the stock age you set.
A typical scenario
A two-brand dealership, fourteen technicians: the after-sales director builds his Monday meeting by hand, on Sunday evenings.
- 01
The comeback rate — vehicles returning within 30 days for the same fault — comes out weekly per technician: two files to review before the brand survey sees them.
- 02
Invoiced times are matched against manufacturer flat rates: forty of the month’s repair orders went out under the rate, shortfall quantified.
- 03
Every Friday, one page: courtesy-car immobilisations, workshop breakage, the week’s credit notes.
What changes
The after-sales director steers on today’s numbers. Sunday evening goes back to being Sunday evening.
Order of magnitude
Working assumptions
- →about 4 hours a week of manual table building
- →drifts spotted at stocktake or in the brand survey, 30 to 60 days later
Sixteen hours a month returned to management, and gaps — flat rates, comebacks, courtesy cars — visible within 24 hours instead of a month.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
What eats your days
- →
The phone rings all day for vehicle status — and every answer means checking the DMS or disturbing the workshop.
- →
Repair orders stay open because of a backordered part or a pending insurance approval, and nobody has time to chase the supplier or the assessor.
- →
Invoices to companies, fleets and insurers slip week after week because collection comes after the workshop.
How it works
- 1
Connected to your sources
Accounting, CRM, bank, e-commerce, spreadsheets: the agent reads your existing tools, read-only. Your numbers stay with you.
- 2
Automatic perspective
A number alone says nothing. The agent compares to yesterday, to the same period last year, to your target — and qualifies the gap: normal, watch, act.
- 3
Brief where you actually read
Email, WhatsApp, Slack: the brief lands every morning where you really read. Three lines when all is well, a deep-dive when something drifts.
Typical results
2 min
to read the morning brief, full picture included
1 d → 0
human time per reporting cycle
D-30 → D-1
drift detection: as it happens, not at close
Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.
Frequently asked questions
Can the brief arrive before the workshop opens?+
Yes, timing is free — a workshop brief at 7 AM and a management brief at closing time with the business indicators is a common setup.
Can it cross the DMS and accounting for real margin?+
That is one of its main contributions: it reconciles DMS workshop data with invoicing and purchases in accounting — where manual reconciliation rarely happens more than once a month.
Is this the problem eating your team’s time?
Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.
Get my free diagnosticFree resource
Get the self-assessment grid for your sector
Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.